Evidence map›Paper›PMID 38768109›Full record

ArticlePloS one2024

How does China's green credit policy affect the innovation of high-polluting enterprises? From the perspective of innovation quantity and quality.

E Bai, Kai Wu, Hongxin Zhu, Hejie Zhu, Zhijiang Lu

Abstract read
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

E BaiSchool of Management, Harbin University of Commerce, Harbin, Heilongjiang, China.ORCID 0000-0001-8303-4596
Kai WuSchool of Management, Harbin University of Commerce, Harbin, Heilongjiang, China.ORCID 0009-0007-5745-562X
Hongxin ZhuSchool of Finance, Southwest University of Finance and Economics, Chengdu, Sichuan, China.
Hejie ZhuSchool of Management, Harbin University of Commerce, Harbin, Heilongjiang, China.
Zhijiang LuSchool of Management, Harbin University of Commerce, Harbin, Heilongjiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Employing the "Green Credit Guidelines" implemented in 2012 as the basis for a quasi-natural experiment, this study applies the method of Difference-in-Differences(DID) to investigate the influence of the Green Credit Policy on both the quantity and quality of enterprise innovation. The outcomes of our analysis reveal that the policy has significantly boosted both the quantity and quality of innovation among enterprises identified as heavy polluters. It is noteworthy that the policy's positive impact on innovation quantity surpasses its positive effect on innovation quality. This substantiates that the Green Credit Policy effectively generates incentivizing outcomes for innovation among the heavy polluters, thereby verifying Porter's hypothesis within the domain of green credit in China. Furthermore, we find that the positive impact is more significant for enterprises with lower innovation capabilities, large-scale enterprises, state-owned enterprises, and those situated in both the Eastern and Western regions. Through these findings, this study illuminates a novel perspective on the interplay between the Green Credit Policy and enterprise innovation dynamics in China.

Indexed as

Environmental PollutionChinaConservation of Natural ResourcesHumansInventions

Identifiers

PMID38768109
PMCPMC11104630

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.